Number of the records: 1
Counting molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images
- 1.
SYSNO ASEP 0561074 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Counting molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images Author(s) Hellerstedt, Jack (FZU-D)
Cahlík, Aleš (FZU-D)
Švec, Martin (FZU-D) RID, ORCID
Stetsovych, Oleksandr (FZU-D) ORCID
Hennen, T. (DE)Number of authors 5 Article number 100301 Source Title SOFTWARE IMPACTS - ISSN 2665-9638
Roč. 12, May (2022)Number of pages 5 s. Language eng - English Country NL - Netherlands Keywords scanning tunneling microscopy ; python ; molecules ; counting Subject RIV BM - Solid Matter Physics ; Magnetism OECD category Condensed matter physics (including formerly solid state physics, supercond.) Method of publishing Open access Institutional support FZU-D - RVO:68378271 UT WOS 000844075800016 EID SCOPUS 85130289937 DOI 10.1016/j.simpa.2022.100301 Annotation Scanning tunneling and atomic force microscopies (STM/nc-AFM) are rapidly progressing to offer unprecedented spatial resolution of a diverse array of chemical species. In particular, they are employed to characterize on-surface chemical reactions by directly examining precursors and products. Chiral effects and self-assembled structures can also be investigated. This open source, modular, python based scheme automates the categorization of a variety of molecules present in medium sized (10 × 10 to 100 × 100 nm) scanned probe images. Workplace Institute of Physics Contact Kristina Potocká, potocka@fzu.cz, Tel.: 220 318 579 Year of Publishing 2023 Electronic address https://hdl.handle.net/11104/0333922
Number of the records: 1